@lawrencegis.bsky.social
1. When I asked for prominent landmarks like the Brooklyn Bridge, it accurately pinpointed the latlong on the map.
2. However, when I queried less well-known locations, it gave locations that were off by hundreds of meters from their actual positions.
(4/7)
2. However, when I queried less well-known locations, it gave locations that were off by hundreds of meters from their actual positions.
(4/7)
June 10, 2025 at 9:51 AM
1. When I asked for prominent landmarks like the Brooklyn Bridge, it accurately pinpointed the latlong on the map.
2. However, when I queried less well-known locations, it gave locations that were off by hundreds of meters from their actual positions.
(4/7)
2. However, when I queried less well-known locations, it gave locations that were off by hundreds of meters from their actual positions.
(4/7)
How far are LLMs from becoming location intelligence that actually works?
Geospatial and LLM integration is a highly hyped combination among devs right now, including myself. I'm grateful to be part of this generation witnessing these changes unfold before our eyes.
(1/7)
Geospatial and LLM integration is a highly hyped combination among devs right now, including myself. I'm grateful to be part of this generation witnessing these changes unfold before our eyes.
(1/7)
June 10, 2025 at 9:51 AM
How far are LLMs from becoming location intelligence that actually works?
Geospatial and LLM integration is a highly hyped combination among devs right now, including myself. I'm grateful to be part of this generation witnessing these changes unfold before our eyes.
(1/7)
Geospatial and LLM integration is a highly hyped combination among devs right now, including myself. I'm grateful to be part of this generation witnessing these changes unfold before our eyes.
(1/7)